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Picture for Andreas S. Tolias

Andreas S. Tolias

Department of Neuroscience, Baylor College of Medicine, Houston, USA, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA, Electrical and Computer Engineering, Rice University, Houston, USA

The Sensorium competition on predicting large-scale mouse primary visual cortex activity


Jun 17, 2022
Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz

* NeurIPS 2022 Competition Track 

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Understanding robustness and generalization of artificial neural networks through Fourier masks


Mar 16, 2022
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi


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Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks


Feb 22, 2022
Zhe Li, Andreas S. Tolias, Xaq Pitkow


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Towards robust vision by multi-task learning on monkey visual cortex


Jul 29, 2021
Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George Denfield, Andreas S. Tolias, Fabian H. Sinz

* 16 pages, 11 figures 

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Class-Incremental Learning with Generative Classifiers


Apr 28, 2021
Gido M. van de Ven, Zhe Li, Andreas S. Tolias

* To appear in the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPR-W) on Continual Learning in Computer Vision (CLVision) 2021 

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Flexible Few-Shot Learning with Contextual Similarity


Dec 10, 2020
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel

* Technical report, 29 pages 

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Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses


Oct 22, 2020
R. James Cotton, Fabian H. Sinz, Andreas S. Tolias

* 14 pages, 5 figures, NeurIPS 2020 conference paper 

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Learning From Brains How to Regularize Machines


Nov 11, 2019
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias

* 14 pages, 7 figures, NeurIPS 2019 

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Three scenarios for continual learning


Apr 15, 2019
Gido M. van de Ven, Andreas S. Tolias

* Extended version of work presented at the NeurIPS Continual Learning workshop (2018); 18 pages, 5 figures, 6 tables. arXiv admin note: substantial text overlap with arXiv:1809.10635 

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